Senior Data Engineer

BMOToronto, ON
CA$75,900 - CA$141,900

About The Position

Data and AI Technology (DAT) Engineering supports BMO's Digital-First, risk, regulatory and compliance requirements by building data and AI products that provide timely actionable insights to drive desired business outcomes and value. DAT Engineering collaborates with multiple groups across the bank deliver hundreds of initiatives every year to help our partners solve problems and make smarter data-driven decisions. We are a very diverse organization with plenty of exciting opportunities to apply your unique skills to solve complex business problems. If you love data, complex challenges, cutting-edge technologies, and opportunities to learn, then this is the team you want to be in.

Requirements

  • 5 - 7 years of relevant experience and IT education and/or certification(s)
  • Hands on experience with ETL/ELT development/testing and data warehousing concepts
  • Hands on experience with SQL, NoSQL, Python, Spark, Scala
  • Experience with SSIS, Glue, cloud storage and computing services (e.g. AWS, Azure), Hadoop, Netezza
  • Experience with structured, semi structured and unstructured datasets in batch and streaming
  • Experience with data analysis, data mapping and data profiling
  • Experience with AI concepts, GenAI, prompt engineering, retrieval-augmented generation (RAG), AI-powered tools in SDLC etc...
  • Experience in Agile delivery, including usage of JIRA

Nice To Haves

  • Experience in large enterprise setting
  • Experience interacting with senior leaders
  • Experience working in highly regulated industries

Responsibilities

  • Lead in the planning, design, development, testing, implementation, documentation, and support of data and AI products
  • Partner with business stakeholders in translating business requirements (functional and non-functional) into data and AI products
  • Provide direction on technical designs and ensure alignment with standards and roadmaps
  • Provide technical direction and guidance to junior and intermediate developers
  • Identify, track, and perform regression testing on defects found
  • Lead process improvement opportunities, to improve our delivery and deployment capabilities
  • Accelerate development by building frameworks, automation scripts, and reusable code
  • Strengthen development capability via mentoring, knowledge sharing, and building communities of practice

Benefits

  • health insurance
  • tuition reimbursement
  • accident and life insurance
  • retirement savings plans
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